Kravtsov et al. claim that we incorrectly assess the statistical independence of simulated samples of internal climate variability and that we underestimate uncertainty in our calculations of observed internal variability. Their analysis is fundamentally flawed, owing to the use of model ensembles with too few realizations and the fact that no one model can adequately represent the forced signal
This article has been accepted for publication and undergone full peer review but has not been throu...
Climate models are an essential tool for studying and predicting climate change. Their usefulness, h...
The role of sampling variability in ENSO composites of winter surface air temperature and precipitat...
Benchmarking climate model simulations against observations of the climate is core to the process of...
In this paper we examine various options for the calculation of the forced signal in climate model s...
An ensemble of models can be interpreted in two ways. The first treats each model as an approximatio...
Low-frequency internal climate variability (ICV) plays an important role in modulating global surfac...
Zhang et al. interpret the mixed-layer energy budget in models as showing that “ocean dynamics play ...
The comparison performed in Berry et al. [Phys. Rev. E 91, 032915 (2015)] between the skill in predi...
A new multiproxy reconstruction of the Northern Hemisphere extratropical mean temperature over the l...
McLean et al. (2009) (henceforth MFC09) claim that the El Niño–Southern Oscillation (ENSO), as repre...
In a recent paper, Christiansen et al. compared climate reconstruction methods using surrogate ensem...
In 2018, Lewis and Curry presented a method for estimating the transient climate response (TCR) of t...
The usefulness of a climate-model simulation cannot be inferred solely from its degree of agreement ...
This reply is in response to Vance et al (2017), who expressed concern that their Law Dome summer se...
This article has been accepted for publication and undergone full peer review but has not been throu...
Climate models are an essential tool for studying and predicting climate change. Their usefulness, h...
The role of sampling variability in ENSO composites of winter surface air temperature and precipitat...
Benchmarking climate model simulations against observations of the climate is core to the process of...
In this paper we examine various options for the calculation of the forced signal in climate model s...
An ensemble of models can be interpreted in two ways. The first treats each model as an approximatio...
Low-frequency internal climate variability (ICV) plays an important role in modulating global surfac...
Zhang et al. interpret the mixed-layer energy budget in models as showing that “ocean dynamics play ...
The comparison performed in Berry et al. [Phys. Rev. E 91, 032915 (2015)] between the skill in predi...
A new multiproxy reconstruction of the Northern Hemisphere extratropical mean temperature over the l...
McLean et al. (2009) (henceforth MFC09) claim that the El Niño–Southern Oscillation (ENSO), as repre...
In a recent paper, Christiansen et al. compared climate reconstruction methods using surrogate ensem...
In 2018, Lewis and Curry presented a method for estimating the transient climate response (TCR) of t...
The usefulness of a climate-model simulation cannot be inferred solely from its degree of agreement ...
This reply is in response to Vance et al (2017), who expressed concern that their Law Dome summer se...
This article has been accepted for publication and undergone full peer review but has not been throu...
Climate models are an essential tool for studying and predicting climate change. Their usefulness, h...
The role of sampling variability in ENSO composites of winter surface air temperature and precipitat...